{"id":"W6955422449","doi":"10.57907/mirri/avbdxt","title":"MIRRI0045531","year":2022,"lang":"en","type":"dataset","venue":"Entrepôt pour orphelin","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Organism; Taxon; Population; Selection (genetic algorithm)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008853544,0.0009445188,0.0008618103,0.000635032,0.0003233849,0.0001569237,0.001852873,0.0004701215,0.9990227],"category_scores_gemma":[0.000600426,0.001011288,0.0005373115,0.0006096692,0.0001092989,0.0001248175,0.001197132,0.001885987,0.9846122],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008105139,"about_ca_system_score_gemma":0.000701122,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001303401,"about_ca_topic_score_gemma":0.0003991819,"domain_scores_codex":[0.9944833,0.0006603419,0.0009115858,0.001350797,0.00151113,0.001082878],"domain_scores_gemma":[0.9959311,0.0003168572,0.0007619949,0.002482447,0.0001173846,0.0003901933],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008976512,0.0004831128,0.00001680041,0.00008963559,0.000225277,0.0008604826,0.00003029019,0.00005210291,0.0001849731,0.00001380925,0.9977109,0.0002428367],"study_design_scores_gemma":[0.0009934918,0.0000620162,0.00001656931,0.00005217428,0.0003257407,0.0001232097,0.0000920923,0.000006585987,0.0001192472,0.0001333214,0.9970433,0.001032313],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008986657,0.001442666,0.000002411228,0.0004093374,0.002089771,0.0006263335,0.9948148,0.0004878048,0.0000370542],"genre_scores_gemma":[0.00000378132,0.0002353841,0.0001746429,0.0007804252,0.001013868,0.0002427269,0.9893126,0.0003077923,0.007928717],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01441044,"threshold_uncertainty_score":0.9992337,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0171976877902591,"score_gpt":0.2678402794725208,"score_spread":0.2506425916822617,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}